• Laser & Optoelectronics Progress
  • Vol. 59, Issue 2, 0200003 (2022)
Penghui Zhang1, Yang Zhao1、2、*, Peng Li1, Zhiquan Zhou2, Xue Bai1, and Jian Ma1
Author Affiliations
  • 1Laser Institute, Shandong Academy of Sciences, Qilu University of Technology, Jinan , Shandong 250104, China
  • 2School of Information Science and Engineering, Harbin Institute of Technology, Weihai , Shandong 264209, China
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    DOI: 10.3788/LOP202259.0200003 Cite this Article Set citation alerts
    Penghui Zhang, Yang Zhao, Peng Li, Zhiquan Zhou, Xue Bai, Jian Ma. Research Progress in Ultrasonic Imaging Detection Technology[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0200003 Copy Citation Text show less

    Abstract

    Ultrasonic imaging detection (UID) technology has the advantages of intuitive test results, and is one of the main development directions in the field of nondestructive testing in the future. Compared to traditional ultrasonic testing methods, laser ultrasonic detection has gained popularity due to its non-contact characteristics. The time reversal imaging method has a potential application in locating and detecting targets in inhomogeneous media due to its ability of acoustic beam self-focusing in time and space domains. This study primarily reviews the time reversal method and other conventional ultrasonic imaging methods. The results of different imaging algorithms used in the data post-processing are compared and analyzed. Moreover, the professional simulation softwares available for use in the ultrasonic imaging field are briefly summarized. Starting from laser ultrasound and compared to conventional ultrasound, the general situation of the modern ultrasonic testing technology and the advanced industrial ultrasonic imaging testing instruments and equipment at home and abroad are discussed. Further, the future imaging testing technology is briefly analyzed.
    Penghui Zhang, Yang Zhao, Peng Li, Zhiquan Zhou, Xue Bai, Jian Ma. Research Progress in Ultrasonic Imaging Detection Technology[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0200003
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